An anomaly detection framework anyone can use
PhD student Sarah Alnegheimish wants to make machine learning systems accessible.
Building networks of data science talent
Through collaborations with organizations like BREIT in Peru, the MIT Institute for Data, Systems, and Society is upskilling hundreds of learners around the world in data science and machine learning.
New research, data advance understanding of early planetary formation
Led by Assistant Professor Richard Teague, a team of international astronomers has released a collection of papers and public data furthering our understanding of planet formation.
Study: Climate change may make it harder to reduce smog in some regions
Ground-level ozone in North America and Western Europe may become less sensitive to cutting NOx emissions. The opposite may occur in Northeast Asia.
AI learns how vision and sound are connected, without human intervention
This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.
Learning how to predict rare kinds of failures
Researchers are developing algorithms to predict failures when automation meets the real world in areas like air traffic scheduling or autonomous vehicles.
Scientists discover potential new targets for Alzheimer’s drugs
Pathways involved in DNA repair and other cellular functions could contribute to the development of Alzheimer’s.
The sweet taste of a new idea
Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.
3 Questions: Making the most of limited data to boost pavement performance
Postdoc Haoran Li describes how the Concrete Sustainability Hub is enabling accessible, fast, and robust pavement decision-making.
How we think about protecting data
A new study shows public views on data privacy vary according to how the data are used, who benefits, and other conditions.
How can India decarbonize its coal-dependent electric power system?
A detailed MIT analysis identifies some promising options but also raises unexpected concerns.
Q&A: A roadmap for revolutionizing health care through data-driven innovation
A new book coauthored by MIT’s Dimitris Bertsimas explores how analytics is driving decisions and outcomes in health care.
New tool evaluates progress in reinforcement learning
“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.
Novel AI model inspired by neural dynamics from the brain
New type of “state-space model” leverages principles of harmonic oscillators.
Enhancing the future of teaching and learning at MIT
The MIT Festival of Learning sparked discussions on better integrating a sense of purpose and social responsibility into hands-on education.